Knowledge Distillation From Offline to Streaming Transducer: Towards Accurate and Fast Streaming Model by Matching Alignments
Author:
Affiliation:
1. Hanyang University,Department of Electronic Engineering,Seoul,Republic of Korea
2. Kakao Enterprise Corporation,Seongnam,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10388490/10389614/10389667.pdf?arnumber=10389667
Reference26 articles.
1. Towards Fast and Accurate Streaming End-To-End ASR
2. ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
3. Developing Real-Time Streaming Transformer Transducer for Speech Recognition on Large-Scale Dataset
4. A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency
5. A Better and Faster end-to-end Model for Streaming ASR
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